Correct option is A
The correct answer is (a).
Introduction
Power of a statistical test is the probability of correctly rejecting a false null hypothesis. It is calculated as 1 − β, where β is the probability of Type II error.
Information Booster
- Power = 1 – β.
- β is the probability of failing to detect a real effect.
- Higher power means better chance to detect true differences.
- α is Type I error (false positive).
- 1−α gives confidence level, not power.
- 1+β and 1+α are not meaningful.
Power is influenced by sample size, effect size, and significance level; a power of 0.80 is often considered adequate.
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